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Research on Disposal Station Location Problem Based on Genetic and Simulated Annealing Algorithm

机译:基于遗传和模拟退火算法的垃圾处理站选址问题研究

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This paper introduces a mathematical model for locating the scrap vehicle disposal station. This model involves an NP-complete problem. A hybrid heuristic algorithm is used to solve the problem. The main idea is to combine a Genetic Algorithm with a Simulated Annealing Algorithm component. The combination of two algorithms can solve the premature convergence problem caused by genetic algorithm and improve the efficiency of operation. Computational experience, based on comparative results obtained from MATLAB, shows the efficiency of the hybrid algorithm.
机译:本文介绍了一个用于定位报废车处置站的数学模型。该模型涉及一个NP完全问题。混合启发式算法用于解决该问题。主要思想是将遗传算法与模拟退火算法组件结合在一起。两种算法的结合可以解决遗传算法带来的过早收敛问题,提高运算效率。根据从MATLAB获得的比较结果,计算经验表明了混合算法的效率。

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